Reconciling Vocabularies on the Semantic Web
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Transcript of Reconciling Vocabularies on the Semantic Web
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Amy Lucker
Institute of Fine Arts, New York University
Reconciling Vocabularies on the Semantic Web
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Why do we care about controlled vocabularies?
“One of the key ideas of the semantic web approach is to open and interconnect the meaning within existing metadata.” Semantic Web and Interoperability … ICBC v. 38, no. 2, 2009
Machines only know what humans tell them, Watson notwithstanding.
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From Wikipedia, the free encyclopedia: “Controlled vocabulary schemes mandate the use of predefined, authorised [sic] terms that have been preselected by the designer of the vocabulary, in contrast to natural language vocabularies, where there is no restriction on the vocabulary. … controlled vocabulary is a carefully selected list of words and phrases, which are used to tag units of information (document or work) so that they may be more easily retrieved by a search … In short, controlled vocabularies reduce ambiguity inherent in normal human languages where the same concept can be given different names and ensure consistency.”
Controlled vocabularies or authority systems provide a structure for relationships (“syndetic structures”), e.g., broader/narrower, use for (“see”), related (“see also”).
What are controlled vocabularies?
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Include:CollocationDifferentiationPrecision and Relevance or Quality vs. Quantity
Benefits of controlled vocabularies
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INTEROPERABILITY of:LanguagesPost v. Pre-coordinationStrings v. KeywordsMaintaining syndetic relationshipsFaceted v. rigid hierarchies
So what’s the problem?
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AlignmentTranslationCross-walkHarvesting into RDF/SKOS
Possible solutions?
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